AI/ML Engineer, Senior

Gormat; Corridor North (MD); On-site; USD 180,000 - 240,000; Full time

Job summary

Gormat seeks a Senior AI/ML Engineer to design, integrate, and scale AI workflows for US Cyber Command's AI Enterprise capability. You will move research prototypes to production-grade solutions, building LLM/agent systems, RAG pipelines, and governance guardrails that securely support mission teams.

You'll work with LangGraph, Agno, NVIDIA NeMo, and other toolkits to optimize models and enable enterprise access to critical data and tools. A TS/SCI clearance with poly is required.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field and 8+ years of experience.
• Active TS/SCI clearance w/Poly.
• Advanced proficiency in Python for AI/ML application development.
• Demonstrated experience building or integrating LLM/agent-based systems in production.
• Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering.
• Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early.

Responsibilities

• Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in support of our customer.
• Design and integrate LLM/agent orchestration workflows using frameworks such as LangGraph, Agno, and NVIDIA NeMo Agent Toolkit.
• Tune model gateway routing logic to select, evaluate, and optimize across frontier and open-weight models for cost, performance, and mission fit.
• Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context.
• Implement MCP-based tool-broker integrations so agents can access enterprise tools and data securely.
• Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines for quality, safety, and performance.
• Partner with data scientists and mission analysts to translate research into production-grade AI capabilities for the command.
• Implement AI governance guardrails - content/safety filters, policy enforcement, and approval gates; document architectures and results for reuse.
• Research and evaluate emerging LLM, agent, and AI tooling to keep the command's AI capability current.

Skills

Python for AI/ML

LLM/agent systems

RAG & vector databases

Prompt engineering

AI governance

Education

Bachelor's degree in Computer Science or Data Science

Tools

LangGraph

Agno

NVIDIA NeMo Agent Toolkit

NIM

vLLM

Ollama

LiteLLM

Job description

Ready for a challenge that puts you at the center of AI innovation for cyber operations? Are you an experienced AI/ML engineer who thrives in a fast-paced environment, enjoys turning research and prototypes into real mission capability, and wants to help shape how AI is built and delivered across a national mission?

If so, then apply today and be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM's AI Enterprise capability - the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior AI/ML Engineer on this team, you will design and integrate the models, agents, and AI workflows that run on that platform, with significant, visible impact on the mission of the USCC.

What You'll Be Doing:

• Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in support of our customer.
• Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
• Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit.
• Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context.
• Implement MCP (Model Context Protocol)-based tool-broker integrations so agents can safely and securely access enterprise tools and data.
• Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines to track quality, safety, and performance over time.
• Partner with data scientists and mission analysts to translate research and prototypes into production-grade AI capabilities for the command.
• Implement AI governance guardrails - content/safety filters, policy enforcement, and approval gates - for agentic workflows, and document model/agent architectures and evaluation results for reuse.
• Research and evaluate emerging LLM, agent, and AI tooling to keep the command's AI capability current and adaptable.

Requirements

• Bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience
• Active TS/SCI clearance w/Poly
• Advanced proficiency in Python for AI/ML application development
• Demonstrated experience building or integrating LLM/agent-based systems in production
• Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
• Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early

Preference to Candidates that Have:

• Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
• Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
• Experience with model inference/serving platforms (NVIDIA NIM, vLLM, Ollama, LiteLLM)
• Experience with MCP (Model Context Protocol) or similar tool-broker/integration standards
• Experience with AI evaluation frameworks, model benchmarking, and observability (logs/metrics/traces) for AI workloads
• Experience supporting USCYBERCOM, NSA, or DoD AI/cyber mission environments

TS/SCI with polygraph is required.